Bias due to left truncation and left censoring in longitudinal studies of developmental and disease processes

Kevin Cain; Sioban Harlow; Roderick Little; Bin Nan; Matheos Yosef; John Taffe; Michael R Elliott

doi:10.1093/aje/kwq481

Bias due to left truncation and left censoring in longitudinal studies of developmental and disease processes

Kevin Cain, Sioban Harlow, Roderick Little, Bin Nan, Matheos Yosef, John Taffe, Michael R Elliott

Psychiatry Monash Health

Research output: Contribution to journal › Article › Research › peer-review

145 Citations (Scopus)

Abstract

This paper has focused on estimating the marginal or unconditional distributions of X, Y, and D. Other types of analysis are also of interest, for example, the association of predictors, such as body mass index and smoking status, with X, D, or Y. Web Appendix 1 gives code for doing such an analysis, while accounting for left truncation or left censoring in the single-milestone case.

Original language	English
Pages (from-to)	1078 - 1084
Number of pages	7
Journal	American Journal of Epidemiology
Volume	173
Issue number	9
DOIs	https://doi.org/10.1093/aje/kwq481
Publication status	Published - 2011

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Bias due to left truncation and left censoring in longitudinal studies of developmental and disease processes

Abstract

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